Y. Yang, M. Levine, "The background primal sketch: An approach for tracking moving objects", International Conference on Machine Visiona and Applications, Volume 5, No. 4, paegs 17-34, December 1992.
S. Jabri, Z. Duric, H. Wechsler, "Detection and location of people in video images using adaptive fusion of color and edge information", ICPR 2000, 2000.
O. Javed, K. Shafique, M. Shah, "A hierarchical approach to robust background subtraction using color and gradient information", IEEE Workshop on Motion and Video Computing, WMVC 2002, Orlando, December 2002.
J. Lindstrom, F. Lindgren, K. Astrom, J. Holst, U. Holst, "Background and Foreground Modeling using an Online EM Algorithm, IEEE International Workshop on Visual Surveillance, VS 2006 in conjunction with ECCV 2006, May 2006.
J. Zhang, L. Zhang, H. Tai, "Efficient video object segmentation using adaptive background registration and edge-based change detection techniques", ICME 2004, 2004.
P. Holtzhausen, V. Crnojevic, B. Herbst, "An illumination invariant framework for real-time foreground detection", Journal of Real Time Image Processing, November 2012.
V. Jain, B. Kimia, J. Mundy, "Background modelling based on subpixel edges", International Conference on Image Processing, ICIP 2007, pages 321-324, San Antonio, USA, September 2007.
M. Murshed, O. Chae, “Statistical background modeling: an edge segment based moving object detection approach”, International Conference on Advanced Video and Signal Based Surveillance, AVSS 2010, Boston, USA, September 2010.
A. Ramirez Rivera, M. Murshed, O. Chae, “Object detection through edge behavior modeling”, International Conference on Advanced Video and Signal Based Surveillance, AVSS 2011, 2011.
J. Kim, A. Ramirez Rivera, M. Park, O. Chae, “Scene Modeling using Edge Segment Distributions”, International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2012, Las Vegas, USA, July 2012.
J. Kim, A. Ramirez-Rivera, G. Song, B. Ryu, O. Chae, "Edge-segment-based Background Modeling: Non-parametric Online Background Update", International Conference on Advanced Video and Signal-Based Surveillance, AVSS 2013, 2013.
M. Murshed, A. Ramirez Rivera, J. Kim, O. Chae, “Statistical Binary Edge Frequency Accumulation Model for Moving Object Detection”, International Journal of Innovative Computing, Information and Control, 2012.
J. Kim, M. Murshed, A. Ramirez Rivera, O. Chae, “Background Modelling Using Edge-Segment Distributions”, International Journal of Advanced Robotic Systems, October 2012.
A. Ramirez Rivera, M. Murhsed, J. Kim, O. Chae, “Background Modeling through Statistical Edge-Segment Distributions”, IEEE Transactions on Circuits and Systems for Video Technology, 2012.
S. Hong, J. Kim, A. R. Rivera, G. Song, O. Chae, “Edge shape pattern for background modeling based on hybrid local codes", IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS, 2016, pages 1-7, 2016.
J. Kim, A. Rivera, B. Kim, K. Roy, O. Chae, "Background modeling using adaptive properties of hybrid feature", IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2017, Lecce, Italy, September 2017.
K. Roy, J. Kim, M. Iqbal, F. Makhmudkhujaev, B. Ryu, O. Chae, "An adaptive fusion scheme of color and edge features for background subtraction”, IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2017, Lecce, Italy, September 2017.
B. Kim, A. Rivera, O. Chae, J. Kim, "Background Modeling through Spatiotemporal Edge Feature and Color", International Symposium on Visual Computing , ISVC 2019, 2019.
J. Park, C. Lee, "Improved Background Modeling Through Color De-Correlation", European Signal Processing Conference, EUSIPCO 2011, September 2011.
Z. Li, P. Jiang, H. Ma, J. Yang, D. Tang, "A model for dynamic object segmentation with kernel density estimation based on gradient features", Image and Vision Computing, 2009.
J. Gu,d Z. Liu, Z. Zhang, "Novel moving object segmentation algorithm using kernel density estimation and edge information", Journal of Computer-Aided Design and Computer Graphics, Volume 21, No. 2, pages 223-228, February 2009.
C. Cuevas, N. Garcia, "Tracking-based non-parametric background-foreground classification in a chromaticity-gradient space", IEEE International Conference on Image Processing, ICIP 2010, September 2010.
M. Hossain, M. Hossain, M. Hossain, N. Thu, E. Huh, "DMoD: When the Sharp Gradient Direction Detects Moving Objects more Effectively than Deep Learning-based Methods", Conference: Korea Software Congress, KSC 2020, 2020.